Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

We are looking for a motivated Fresh Graduate to support our factory’s digital transformation initiatives. This role focuses on data analysis, dashboard development, and digital process improvement within manufacturing operations. The candidate will work closely with senior engineers and project leads to develop digital tools, automate reporting, and improve operational visibility. This position offers structured learning exposure in manufacturing analytics, automation, and cross-functional collaboration.

ESSENTIAL DUTIES AND RESPONSIBLITIES:

• Support development of dashboards and automated reports for production KPIs (UPH, OEE, Yield, Downtime).
• Assist in collecting, cleaning, and validating production data from multiple systems.
• Support automation of manual reporting processes using Excel, Power Automate, or similar tools.
• Perform data analysis to identify trends and highlight improvement opportunities.
• Assist in system testing, documentation, and user training materials for digital tools.
• Support project tracking activities (update status, follow up on action items).
• Participate in cross-functional meetings to understand manufacturing requirements.
• Contribute to continuous improvement initiatives using data-driven methods.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

The Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization.

This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs.
• Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms.
• Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making.
• Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
• Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
• Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
• Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

Get to Know the Team

At Grab, we empower merchants, advertisers and agencies to connect with our extensive ecosystem and audience through innovative solutions. Our unique platform allows clients to access their target markets effectively, ensuring measurable outcomes. We invite you to join us as we create value for users, drivers, merchants, and advertising partners while striving to improve daily life across Southeast Asia.

Get to Know the Role

Reporting to the Senior Sales Operations Manager, the Sales Ops & Analytics, you will be collaborating with Sales Operations, Commercial, Product Analytics, and Finance to develop and implement strategies and tools for the Sales teams. Your focus will be on promoting and delivering services to Grab's ecosystem. You should be able to both strategize and execute plans alongside the Commercial and Sales Operations Team. In this dynamic environment, you will contribute to sales strategy, customer segmentation, process improvement, and business analytics.

This is a fully onsite role at our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will act as a key partner for the Commercial Country Head and Country Sales Managers in MY/SG.
• You will lead the execution of country market planning and business reviews.
• You will analyze key sales and performance indicators to inform strategic and tactical decisions while ensuring sales forecast accuracy.
• You will support sales teams in monitoring and forecasting against quarterly targets for revenue and other KPIs.
• You will provide market and sales data intelligence to aid the sales team in forming strategic business cases.
• You will partner with sales leadership to define sales strategies and requirements for business systems.
• You will ensure integrity of sales and customer data by advocating proper usage of tools like Salesforce.
• You will coordinate with Regional Operations to enhance sales operations efficiency at the country level.

Job description

Review journal entries to ensure journals booked are validated/ substantiated in accordance to company Journal Policies. Collaborate with GL Analyst in understanding the journal's supporting evidence & approval.
• Support & coordinate HFM related task from region perspective, including error validation, coordinate on half year/year end disclosures per Group timeline.
• Support GL Analyst in rectify issues or enquiries pertaining to GL transactions within the entities supported.
• Organize and host balance sheet review calls with stakeholders (FC, FD, FBP, FP&A, HR, etc) to review & form action plan on aged items >90days and irregular/material open items. This includes challenging on validity of these items.
• Collaborate with stakeholders and sub-module functions (FA, AP, AR, IC, CM) to execute the action plan to clear these items to ensure a clean balance sheet position, escalate to manager or senior leaders if required
• Review month end balance sheet reconciliation file on monthly basis, ensure correct support documentation, reconciling items & action plan entered & completed correctly by the reconciler.
• Understand and ensure compliance with Experian policies and be the first line of defense/ Gatekeeper of the books.
• Provides guidance to team members, advising team on any matters arising from GL process
• Ensure stakeholders queries are attended to and resolved in a timely, responsible and proactive manner
• Ensure GL team key metrics are met & maintained, e.g. reduce aged open items & maintained the quality of month end balance sheet reconciliation file.
• Continuously drive for improvement & streamline processes within General Ledger function.
• Respond/ handle ad-hoc requests/ divestments/ acquisitions in a timely and professional manner

Job description

this role is to support the respective market Financial Controllers to ensure all entities within APAC and EMEA markets are compliant from a statutory, tax and reporting perspective within the specified deadlines and managing external audit and tax relationships. The incumbent must sustain a strong relationship with the Senior Leadership Stakeholders, Finance community and other parts of the Regional and Global business

Job Description:
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. 

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. 

What a Data Scientist, VCA does at Visa:
We are looking for a Data Scientist to join our VCA team in Malaysia. This role requires transforming raw data into actionable insights that drive business strategies, improve execution and performance of the full cardholder lifecycle. 

The ideal candidate will work closely with Visa’s clients to gather and manage project inputs, analyze data to form conclusions and recommendations, execute and analyze results to improve outcomes. 

Key Responsibilities:

• Lead, execute, and deliver data science projects for Visa's key clients. 
• Develop project scopes, methodologies, and implement solutions using appropriate tools. 
• Understand the Client’s current initiatives and priorities and align with key stakeholders.
• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. 
• Gather and analyze data from VisaNet (i.e., Visa’s transaction data), client’s owned data and 3rd party data sources to understand customer behavior, preferences and trends to help business develop business strategies, optimization activities and improvement of products, marketing techniques. 
• Maintain quality control and documentation for projects. 
• Innovate with Visa's and client data to meet needs. 
• Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact. 
• Independently develop and articulate a compelling storyline with clear insights and actionable recommendations for clients. 
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. 
• Structure documents and project deliverables leveraging data insights and client inputs. 
• Foster thought leadership and innovation in data science. 
• Manage communication with clients and stakeholders. 
• Identify opportunities for innovation using new techniques. 
• Build visualization capabilities to address client problems. 
• Identify market trends through deep analysis of payment industry information. 
• Manage the transfer of technical knowledge for business solution implementation. 

Client Management: 

• Manage and take ownership of all data-related client deliverables and discussions 
• Navigating complex team dynamics 
• Work independently, seeking guidance as needed while ensuring ownership 
• Influence multiple teams they work with or lead

*This is a hybrid position, expectation of days in the office will be confirmed by your Hiring Manager. 

This is a full-time trade compliance analyst role based in Malaysia to support day-to-day trade compliance execution activities. The role is highly process-driven, focusing on accurate, timely execution of routine trade compliance tasks to support ongoing business operations. The role is designed to support trade operations through accurate, consistent execution of established compliance processes. The role involves regular interaction with internal stakeholders and systems and includes administrative and data-management responsibilities. The successful candidate must be well-organized and detail oriented.

Job Specific Tasks and Duties

• Daily trade operations support including data entry, facilitating the execution of administrative activities,
• compilation of reports, and project-specific operations in accordance with established procedures and service‑level expectations
• Review transaction‑level information to ensure accuracy, completeness, and compliance with applicable requirements
• Identify execution issues, discrepancies, or exceptions and escalate in line with defined protocols
• Prepare routine operational reports, trackers, and documentation to support trade operations
• Perform administrative and data management tasks related to trade compliance workflows
• Carry out additional operational duties as assigned to support regional trade compliance activities

• Gain hands-on exposure to sales operations fundamentals, supporting centralized sales processes and daily operational activities.
• Learn reporting and data analysis, including data accuracy checks, dashboard updates, and performance tracking.
• Support process governance and documentation, ensuring alignment with internal controls, audit, and compliance requirements.
• Assist in sales enablement activities, including the use of sales tools, systems, and standardized operational workflows.
• Collaborate with cross-functional teams on projects and continuous improvement initiatives.

Role Overview

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large, datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Get to Know the Team

The Data Platform team at Grab is a collective of software engineers, product managers, product designers, software engineers, and technical program managers, part of the larger Tech Infrastructure organization and focused on enhancing the productivity, development velocity, and efficiency for fellow internal Grabbers, serving millions of users daily. These platforms encompass Experimentation, Data Discovery and Catalog layers, Metrics Engine, Customer Data Platform, Streaming Platforms, and Machine Learning Platform. Our mission is to build and maintain a suite of tools and platforms that enable Grabbers to work smarter, faster, and more collaboratively.

Get to Know the Role

We're looking for a Lead Product Manager to join our Technical Infrastructure team, specifically focusing on Data Platform. In this role, you'll collaborate with engineering, data science, analytics, and product teams to pinpoint areas for improvement and develop impactful solutions. The Data Platform team empowers the underlying platform and infrastructure that supports all data applications in Grab, including data ingestion, data storage, data discovery, data query, data quality, and data activation. You'll work with cross-functional leaders across the company to drive organization-wide changes.

You will report to the Head of Product, Data Tech and AI, and base onsite at our Petaling Jaya office.

The Critical Tasks You Will Perform

• Define and execute the product strategy for the Data Platform.
• Collaborate with cross-functional teams to identify opportunities for improvement and develop tailored solutions.
• Gather requirements, conduct user research, and prioritise the product backlog ensuring the team focuses on high-impact projects.
• Establish strong relationships with internal stakeholders and deeply understand their needs and challenges.
• Drive the adoption and onboarding of internal tools and Data Platform, ensuring user engagement and success.
• Oversee product launches and go-to-market activities for internal tools and data platforms.
• Communicate with both technical and non-technical stakeholders, ensuring the team's work is well-understood and well-supported.

Role Overview

The Technical Analyst engineer is the engine room of the Client Experience department, reporting directly to the AI Lead. You will bridge the gap between technical infrastructure and business intelligence by building and maintaining the department’s automation stack—using Zendesk and Python—while applying AI/LLM knowledge to enhance support capabilities. You will also serve as the team’s data anchor, performing deep-dive financial reconciliations and building automated dashboards to drive data-led decision-making.

Key Responsibilities

1. Automation & AI Integration
• Zendesk & SaaS Optimization: Architect and maintain Zendesk triggers, automations, and complex workflows;
• Python-Led Automation: Develop and deploy Python scripts to automate repetitive manual tasks.
• AI Feature Deployment: Implement and tune advanced AI features within SaaS, managing knowledge base training and basic RAG (Retrieval-Augmented Generation) logic.
2. Data Tools & Reporting
• Advanced Data Analysis: Use tools extensively for high-stakes data cleaning, financial reconciliation, and analysis (advanced formulas and Power Query required).
• BI Dashboarding: Build and maintain automated reports to track KPIs and operational health.
• Management Reporting: Prepare regular operations and analysis reports, translating raw data into insights for Finance and Management teams.
3. Process Improvement & Collaboration
• Workflow Refinement: Support the optimization of processes, rules, and SOPs to improve efficiency, transparency, and internal control.
• Cross-functional Alignment: Work closely with Payment, Finance, IT, and Product teams to drive system improvements and handle security-related whitelisting or response tasks.

• Platform Expertise: Hands-on experience with Zendesk Administration (workflows, triggers, and app integrations).

• Advanced Data Skills: Expert-level Excel (Power Query, Pivot Tables, and complex financial reconciliation); experience with SQL and BI tools.
• Automation & Scripting (Preferrable): Proficiency in Python for business process automation and data extraction; experience with APIs and Webhooks.
• AI Literacy (Preferrable): A foundational understanding of LLMs and how to apply them within a customer experience or operational framework.

Role Summary

A leading project management and construction delivery organisation is seeking an experienced Contract Administrator to support its project teams. This role is ideal for a senior professional who excels in contract interpretation, claims management, documentation, and stakeholder coordination—ensuring projects run smoothly and fully comply with contractual obligations.

Key Responsibilities

Contract Administration & Daily Project Support

• Manage the day‑to‑day contractual administration of assigned projects, ensuring all contractual and claim‑related events are monitored, documented, and escalated when necessary.
• Provide early identification of potential risks and opportunities, recommending proactive measures to the project team.
• Interpret contract terms and work closely with project managers, site teams, and legal representatives when contractual issues arise.

Correspondence & Documentation

• Review, log, track, and manage all incoming and outgoing project correspondence.
• Draft contractual letters, coordinate reviews with project management and senior stakeholders, and ensure timely issuance.
• Support the setup and oversight of document control systems.
• Maintain comprehensive records including correspondence, meeting minutes, photos, and other relevant documents.

Meetings & Stakeholder Engagement

• Participate in internal project status meetings, providing updates on claims, risks, and contractual matters.
• Attend and support client, consortium, supplier, and technical meetings when required.
• Review minutes of meetings to ensure accuracy and proper documentation.
• Assist in organising workshops to enhance claim and change management awareness among project team members.

Reporting

• Support project reporting requirements by contributing contractual insights and documentation.
• Prepare monthly reports for senior management detailing Notices of Claim, active claims, change orders, key correspondence, and significant upcoming events.

Claims Management

• Manage both incoming and outgoing claims throughout the project lifecycle.
• For incoming claims: verify entitlement, collect supporting records, assess risks, and develop defensive strategies with the project team.
• For outgoing claims: prepare claim notifications, compile substantiation, draft formal claim submissions, and support negotiation processes.
• Ensure all claims are handled in accordance with contractual deadlines and requirements.

Dispute Resolution

• Assist senior management and legal teams with dispute resolution processes, including document preparation and detailed investigation of contractual issues.

Project Acceptance & Closeout

• Support the process of obtaining acceptance certificates and verifying that contractual deliverables have been fulfilled.
• Ensure all contract administration records are properly archived after project completion.

About EPOS

Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider.

Supporting Ant International's mission to empower SMEs, EPOS serves as the central hub of its global merchant payment services provider, Antom, delivering integrated O2O digital, payment, and banking solutions to SMEs worldwide—empowering Every Point Of Success in their business growth.

With a growing presence across Southeast Asia, we’re looking for passionate individuals to join our diverse and driven teams. Be part of our journey as we expand to create meaningful, impactful changes for businesses around the world.

Key Responsibilities:

1. Performance Tracking & Risk Management: Track business volume KPIs, identify deviations, and provide early risk alerts to stakeholders.

2. Regulatory & Political Impact Analysis: Conduct granular analysis of transaction volume changes driven by new regulations, political developments, or macroeconomic factors. Build predictive models for mid-/long-term trends.

3. Business Operations Analysis: Partner with cross-functional teams to analyze profitability, operational efficiency, and market opportunities. Deliver clear, actionable reports.

4. Data Product Development: Define core business metrics, document domain knowledge, and collaborate with data engineers to build scalable data products (e.g., dashboards, data warehouse tables).

• 2-5 years in BI, data analysis, ETL or related fields. Preferred: Exposure to payments, fintech, or financial services.
• Technical Skills: Proficiency in SQL for data querying/transformation.Advanced Excel Sheets (pivot tables, complex formulas).Familiarity with BI tools (Tableau, Power BI) is a plus.
• Analytical Mindset: Ability to translate raw data into business narratives.
• Language: Fluent English (working language). Mandarin Chinese proficiency is a strong advantage.
• Soft Skills: Collaborative, detail-oriented, and adaptable to fast-paced environments.

We are on the lookout for a Procurement Operations Analyst to join the Global Procurement team at foodpanda, based in our Malaysia office, on our journey to always deliver amazing experiences.  

The Procurement Operations Analyst is an entry-level role focused on supporting the transactional aspects of procurement operations, providing direct support for incident and problem management, and addressing inquiries through the customer help desk. This role is essential for maintaining smooth, efficient operations within the procurement team and ensuring stakeholder satisfaction through prompt issue resolution and clear communication.

1. Transactional Processing

   • Monitor the purchase requisitions and purchase order creation following defined policies and procedures.

   • Ensure accuracy and timeliness, supporting compliance with corporate guidelines and service level agreements (SLAs).

2. Incident and Problem Management

   • Handle procurement-related incidents, performing initial triage and troubleshooting to resolve issues where possible.

   • Assist in root cause analysis, helping to prevent recurrence and drive improvements.

3. Customer Help Desk

   • Serve as a primary contact point for internal inquiries related to procurement transactions and processes.

4. Continuous Improvement

   • Identify and suggest areas for process enhancement within transactional procurement and customer support.

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

The Reference Data Specialist (RD PH) is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

Job Title

Videography Consultant (Digital Videography)

Duration: February 2024 – Present

Role Overview

The Videography Consultant (Digital Videography) partners with internal stakeholders and leadership to deliver high‑quality, engaging video content that supports business objectives. This role is responsible for end‑to‑end video production, translating complex and technical topics into compelling visual stories, while ensuring alignment with global brand standards.

Key Responsibilities

• Partner with internal departments to review, refine, and shape video storylines, advising on production feasibility and proposing creative enhancements.
• Collaborate closely with the Leadership Team to align video storytelling with organizational goals, strengthening the clarity and impact of internal communications.
• Produce, direct, and deliver over 60 internal videos, transforming technical or complex subjects into engaging and accessible narratives.
• Manage end‑to‑end creative execution, including concept development, storyboarding, motion design, animation, filming, and post‑production.
• Ensure all video content adheres to global brand guidelines and maintains a consistent visual and narrative standard.
• Continuously improve production workflows to increase delivery speed and efficiency, while sharing best practices and creative guidance with colleagues.
• Provide occasional graphic design support to internal teams, including mockups, digital banners, and presentation enhancements.

Skills & Expertise

• Strong expertise in digital videography, video direction, and post‑production.
• Proven ability to translate technical information into clear, engaging visual stories.
• Solid experience in motion graphics, animation, and storyboarding.
• Strong stakeholder management and collaboration skills, including working with senior leadership.
• Demonstrated ability to manage multiple projects while meeting deadlines and quality standards.
• Working knowledge of brand governance and applying global brand standards across creative outputs.

Key Outcomes

• Clearer, more engaging internal communications through effective video storytelling.
• High‑quality video and motion content delivered efficiently and consistently.
• Improved creative workflows and raised overall creative quality across teams.

What you will do

• Support the Staff Planning Optimisation (SPO) project through data analysis and insights. (around 80% of your scope).
• Assist in preparing analysis and reports for Monthly P&L and Business Insights (around 20%).
• Help review staff cost and workforce planning data.
• Work with the team to identify trends, insights, and opportunities for improvement.

The Data Processing Specialist is responsible for data coding and data input validation focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health, and Beauty Products). As a Data Processing Specialist at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner. This role is to support New Zealand market (CI). 

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

The Sustainability Data & Energy Analyst plays a critical role in analyzing, forecasting, and optimizing the company’s energy usage, utility spend, and sustainability performance. This position leads complex data modeling, energy performance analysis, and reporting initiatives that support cost reduction, operational efficiency, carbon reduction strategies, and regulatory compliance. The ideal candidate combines strong technical analytics skills with deep knowledge of energy systems, utility data, emissions accounting and ability to communicate effectively with a wide range of colleagues, from facilities technicians to senior leaders.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

1. Energy & Utility Data Analytics

• Collect, clean, and analyze utility and resource consumption data across facilities, assets, and operations. Resources to include, at a minimum, fuels, gases, chemicals, water, waste and energy.
• Develop dashboards, performance indicators, and analytics tools to monitor energy and resource consumption, trends, anomalies, and savings opportunities.
• Conduct variance analysis, cost modeling, and root‑cause investigations of energy performance deviations.
• Identify and quantify energy efficiency opportunities, load optimization strategies, and cost‑saving programs.
• Develop and deliver effective data-related trainings to ensure high fidelity incoming data. Conduct spot checks and check-ins with employees across global sites to confirm uptake and understanding.

2. Forecasting & Modeling

• Build and support modelling for Scopes 1, 2, 3, water and waste goals, configure models to ensure dynamic conditions are incorporated, assumptions documented, and risks to performance are evident and monitored.
• Build and maintain forecasting models for Scopes 1, 2, 3 and water, and waste.
• Build and maintain energy forecasting models for electricity, fuel, thermal energy, and peak demand, incorporating traditional and clean energy sources.
• Support financial planning with energy budget models, scenario analysis, and rate/tariff evaluations.
• Evaluate the financial and operational impacts of energy price fluctuations, weather patterns, utility programs, and operational changes.

3. Sustainability & Emissions Accounting

• Manage greenhouse gas (GHG) emissions calculation across Scopes 1, 2, and relevant Scope 3 categories.
• Prepare energy, emissions, and resource consumption data for corporate sustainability reporting (e.g., CDP, GRI, TCFD, ISSB, CSRD).
• Analyze the energy and emissions impacts of operational initiatives, equipment upgrades, and renewable energy projects.
• Develop standardized tools to direct site-level environmental accounting and reporting; whether SaaS, homegrown, or hybrid tools

4. Third-party Assurance and Audit Support

• Prepare audit‑ready datasets, documentation, evidence, and data dictionaries for energy and GHG emissions assurance reviews.
• Serve as a key liaison between external auditors/assurance providers and internal teams.
• Support walkthroughs, sampling, and testing procedures by providing source data, calculations, and methodological explanations.
• Maintain traceable audit trails, version control, and documentation to meet assurance requirements (limited or reasonable assurance).
• Implement auditor feedback to strengthen internal controls and improve future assurance readiness.
• Assist in annual internal reviews of data processes, methodologies, and system controls to reduce audit findings and risks.

5. Energy Systems & Operations Support

• Partner with operations, facilities, engineering, and procurement to improve energy performance and optimize systems.
• Analyze performance of HVAC, lighting, manufacturing equipment, motors/drives, and building automation systems at a global level. Support site teams as appropriate.
• Support the assessment and validation of energy conservation measures and capital projects.
• Evaluate clean energy and onsite generation opportunities (solar, storage, microgrids, fuel switching, etc.). Partner with site facility teams to explore and evaluate opportunities in-country/region.

6. Data Engineering & Digital Tools

• Develop and maintain data pipelines, automation scripts, and analytics models using SQL, Python, BI tools.
• Manage energy data systems and platforms (e.g., Power BI/Tableau).
• Understand, support, and implement data governance improvements, quality control processes, and documentation standards. With Data Governance manager, conduct periodic reviews of governance model effectiveness and efficiency.
• Drive in-house automation initiatives across Manufacturing EPU, including data workflows, crew operations, and EHS monitoring systems.
• Collaborate with the Data Automation Team to design and deploy digital tools that streamline operational reporting, automate manual data collection, and improve real-time visibility of manufacturing performance.
• Support automation pathways for renewable energy and Carbon-Free Energy (CFE) allocation based on customer demand, enabling efficient energy utilization through digital systems and process automation.